Search Results for author: Jiannan Zhao

Found 6 papers, 0 papers with code

OppLoD: the Opponency based Looming Detector, Model Extension of Looming Sensitivity from LGMD to LPLC2

no code implementations10 Feb 2023 Feng Shuang, Yanpeng Zhu, Yupeng Xie, Lei Zhao, Quansheng Xie, Jiannan Zhao, Shigang Yue

As a vital capability evolutionary survival, it has been extensively studied in neuroscience and is attracting increasing research interest in robotics due to its close relationship with collision detection and navigation.

Attention and Prediction Guided Motion Detection for Low-Contrast Small Moving Targets

no code implementations27 Apr 2021 Hongxin Wang, Jiannan Zhao, Huatian Wang, Cheng Hu, Jigen Peng, Shigang Yue

The developed visual system comprises three main subsystems, namely, an attention module, an STMD-based neural network, and a prediction module.

Motion Detection

Enhancing LGMD's Looming Selectivity for UAV with Spatial-temporal Distributed Presynaptic Connections

no code implementations9 May 2020 Jiannan Zhao, Hongxin Wang, Shigang Yue

The results have demonstrated that this new model enhances the looming selectivity in complex flying scenes considerably, and has potential to be implemented on embedded collision detection systems for small or micro UAVs.


A Time-Delay Feedback Neural Network for Discriminating Small, Fast-Moving Targets in Complex Dynamic Environments

no code implementations29 Dec 2019 Hongxin Wang, Huatian Wang, Jiannan Zhao, Cheng Hu, Jigen Peng, Shigang Yue

Discriminating small moving objects within complex visual environments is a significant challenge for autonomous micro robots that are generally limited in computational power.

Motion Detection

An LGMD Based Competitive Collision Avoidance Strategy for UAV

no code implementations15 Apr 2019 Jiannan Zhao, Xingzao Ma, Qinbing Fu, Cheng Hu, Shigang Yue

In this paper, we present an LGMD based competitive collision avoidance method for UAV indoor navigation.

Collision Avoidance

A Bio-inspired Collision Detecotr for Small Quadcopter

no code implementations14 Jan 2018 Jiannan Zhao, Cheng Hu, Chun Zhang, Zhihua Wang, Shigang Yue

The observed results from the experiments demonstrated that the LGMD collision detector is feasible to work as a vision module for the quadcopter's collision avoidance task.

Collision Avoidance

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